Session Recommendation via Recurrent Neural Networks over Fisher Embedding Vectors †

Recommendation services bear great importance in e-commerce, shopping, tourism, and social media, as they aid the user in navigating through the items that are most relevant to their needs. In order to build recommender systems, organizations log the item consumption in their user sessions by using...

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Detalles Bibliográficos
Autores principales: Kelen, Domokos, Daróczy, Bálint, Ayala-Gómez, Frederick, Ország, Anna, Benczúr, András
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720552/
https://www.ncbi.nlm.nih.gov/pubmed/31405108
http://dx.doi.org/10.3390/s19163498

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720552/
https://www.ncbi.nlm.nih.gov/pubmed/31405108
http://dx.doi.org/10.3390/s19163498

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